PENENTUAN BOBOT KEPENTINGAN DECISION MAKER DALAM GROUP DECISION MAKING

https://doi.org/10.22146/teknosains.7965

Dian Eko Hari Purnomo dan Nur Aini Masruroh(1*)

(1) Pascasarjana Teknik Industri Universitas Gadjah Mada
(*) Corresponding Author

Abstract


Generally, there are two criteria which are widely used to determineDM’s weight of interest, i.e. competenceand consensus. Various studies related to determine DM’s weight of interest based on competence or consensusseparately have been conducted. Each criterion has its own advantages. The advantage of using competence as acriterion is DMs who have high competence based on their consistence on the decisions made will have high of interest weight. Meanwhile, consensus criterion emphasizes a DM/s contribution to a group without consideringthe DM’s ability or competence.Considering the advantages of both criteria, this study developed a model to determine DM’s weight of interestby considering the DM’ competence and consensus in a GDM. This study used2 group decision making cases totaling in 6 groups consisting of 5 people each. Collected data was then processedusing DM’s weight of interest determination method based on competence and consensus. A model was thendesigned using regression method and fuzzy method. Therefore, a model to determine DM’s weight of interest was obtained by considering competence and consensus. DM’s weight of interest from each method was then involvedin group decision making. The research result showed that group decisions made by involving DM’s weight of interest were better decisions. It implies competence and consensus are two criteria which can be used to determineDM’s weight of interest.

Keywords


Group Decision Making (GDM); Decision Maker (DM); DM Weights; Competence; Consensus

Full Text:

PDF


References

Alfares, H., dan Duffuaa, O., 2008, Determining Aggregate Criteria Weights from Criteria Rankings by a Group of Decision Makers. International Journal of Information Technology & DecisionMaking, 7(4), 1-13.

Alonso, S., Herrera-Viedma, E., Chiclana, F., dan Herrera, F., 2010, A Web Based Consensus Support Systems for Group Decision Making Problems and omplete Preferences, InformationSciences, 180(23), 4477-4495.

Ben-Arieh, D., dan Chen, Z., 2006, Linguistic-Labels Aggregation and Consensus Measure for Autocratic Decision Making Using Group Recommendations, IEEE Transactions onsystem, man and cybernetics, 36(3),558-568.

Ekel, P., Queiroz, J., Parreiras, R., dan Palhares, R., 2009, Fuzzy Set Based Model and Method of Multicriteria Group Decision Making, NonlinearAnalysis, 71(12), 409-419.

Herrera, F., Herrera-Viedma, E., dan Verdegay, J.L., 1997, Linguistic Measures Based on Fuzzy Coincidence for Reaching Consensus in Group Decision Making, International Journal of ApproximateReasoning, 16(3-4), 309-334.

Kacprzyk., Fedrizzi, M., dan Nurmi, H., 1992, Group Decision Making and Consensus under Fuzzy Preferences and Fuzzy Majority, Fuzzy Sets andSystem, 49(1), 21-31.

Kim, S.H., dan Ahn, B.S., 1997, Group Decision Making Procedure Considering Preference Strength under Incomplete Information, Computers Ops Res, 24(12), 1101-1112.

Ness, J., dan Hoffman, C., 1998, Putting Senseinto Consensus: Solving the Puzzleof Making Team Decision,VISTA Associates.

P’Erez, I.J., Alonso, S., Cabrerizo, F.J., Lu, J., dan Herrera-Viedma, E., 2011, ModellingHeterogeneity among Experts in Multi-kriteria Group Decision Making Problems, LectureNote in Computer Science, 6820(2011), 55-66.

Parreiras, R.O., Ekel, P.Y., Martini, J.S.C., dan Palhares, R.M., 2010, A Flexible Consensus Scheme for Multi Criteria Group Decision Making under Linguistic Assessment, InformationSciences, 180(7), 1075-1089.

Weiss, D.J., dan Shanteau, J., 2003, Empirical Assessment of Expertise, Human Factor, 45(1), 104-116.

Yue, Z.L., 2011, Deriving Decision Maker’s Weights Based on Distance Measure for Interval-Valued Intuitionistic Fuzzy Group Decision Making, Expert Systems with Applications, 38(9), 11665-11670.

Yue, Z.L., 2012, Approach to Group Decision Making Based on Determining Weights of Experts by Using Projection Method, AppliedMathematical Modeling, 36(7), 2900-2910.



DOI: https://doi.org/10.22146/teknosains.7965

Article Metrics

Abstract views : 3285 | views : 3120

Refbacks

  • There are currently no refbacks.




Copyright (c) 2015 Dian Eko Hari Purnomo dan Nur Aini Masruroh

Creative Commons License
This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.




Copyright © 2024 Jurnal Teknosains     Submit an Article        Tracking Your Submission


Editorial Policies       Publishing System       Copyright Notice       Site Map       Journal History      Visitor Statistics     Abstracting & Indexing